Daniel Le Berre

2.2k total citations · 1 hit paper
33 papers, 838 citations indexed

About

Daniel Le Berre is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Daniel Le Berre has authored 33 papers receiving a total of 838 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Computational Theory and Mathematics and 12 papers in Computer Networks and Communications. Recurrent topics in Daniel Le Berre's work include Formal Methods in Verification (11 papers), Constraint Satisfaction and Optimization (10 papers) and Logic, Reasoning, and Knowledge (7 papers). Daniel Le Berre is often cited by papers focused on Formal Methods in Verification (11 papers), Constraint Satisfaction and Optimization (10 papers) and Logic, Reasoning, and Knowledge (7 papers). Daniel Le Berre collaborates with scholars based in France, Russia and Spain. Daniel Le Berre's co-authors include Anne Parrain, Thomas Durieux, Martin Monperrus, Maxime Clément, Laurent Simon, Jifeng Xuan, Matías Martínez, Salem Benferhat, Gerhard Brewka and Matti J„ärvisalo and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Communications of the ACM.

In The Last Decade

Daniel Le Berre

28 papers receiving 806 citations

Hit Papers

Nopol: Automatic Repair of Conditional Statement Bugs in ... 2016 2026 2019 2022 2016 50 100 150 200 250

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel Le Berre France 12 414 396 338 232 211 33 838
Juan Bicarregui United Kingdom 12 285 0.7× 281 0.7× 236 0.7× 113 0.5× 224 1.1× 40 636
Roberto Sebastiani Italy 18 620 1.5× 280 0.7× 158 0.5× 181 0.8× 491 2.3× 53 896
Ofer Strichman Israel 16 415 1.0× 468 1.2× 198 0.6× 144 0.6× 486 2.3× 59 850
Shahar Maoz Israel 19 426 1.0× 645 1.6× 481 1.4× 284 1.2× 309 1.5× 73 954
Reiner Hähnle Germany 15 642 1.6× 222 0.6× 168 0.5× 158 0.7× 431 2.0× 85 843
Dines Bjørner Denmark 12 495 1.2× 300 0.8× 279 0.8× 152 0.7× 300 1.4× 84 771
Joseph Gil Israel 16 394 1.0× 186 0.5× 293 0.9× 213 0.9× 102 0.5× 53 651
Robert F. Stärk Switzerland 9 450 1.1× 152 0.4× 148 0.4× 156 0.7× 290 1.4× 31 659
Colin Runciman United Kingdom 13 509 1.2× 224 0.6× 257 0.8× 169 0.7× 202 1.0× 68 769
Jan Madey Canada 5 436 1.1× 423 1.1× 326 1.0× 122 0.5× 272 1.3× 5 751

Countries citing papers authored by Daniel Le Berre

Since Specialization
Citations

This map shows the geographic impact of Daniel Le Berre's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Le Berre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Le Berre more than expected).

Fields of papers citing papers by Daniel Le Berre

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Le Berre. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Le Berre. The network helps show where Daniel Le Berre may publish in the future.

Co-authorship network of co-authors of Daniel Le Berre

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Le Berre. A scholar is included among the top collaborators of Daniel Le Berre based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Le Berre. Daniel Le Berre is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Cosmo, Roberto Di, Konrad Hinsen, Nicolas Jullien, et al.. (2025). Stop treating code like an afterthought: record, share and value it. Nature. 646(8084). 284–286. 1 indexed citations
2.
Berre, Daniel Le, et al.. (2024). Stereoisomers Are Not Machine Learning’s Best Friends. Journal of Chemical Information and Modeling. 64(14). 5451–5469. 1 indexed citations
3.
Berre, Daniel Le, et al.. (2023). Curated dataset of association constants between a cyclodextrin and a guest for machine learning. Chemical Data Collections. 45. 101022–101022. 7 indexed citations
4.
Cosmo, Roberto Di, et al.. (2023). Establishing a national research software award. SHILAP Revista de lepidopterología. 3. 185–185.
5.
Berre, Daniel Le, et al.. (2023). Compressing UNSAT Search Trees with Caching. HAL (Le Centre pour la Communication Scientifique Directe). 358–365.
6.
Creignou, Nadia & Daniel Le Berre. (2016). Theory and applications of satisfiability testing - SAT 2016 : 19th International Conference, Bordeaux, France, July 5-8, 2016 : proceedings. Springer eBooks. 2 indexed citations
7.
Berre, Daniel Le & Nadia Creignou. (2016). Theory and Applications of Satisfiability Testing – SAT 2016. Lecture notes in computer science. 6 indexed citations
8.
Berre, Daniel Le, et al.. (2014). Sat4j 2.3.2: on the fly solver configuration. HAL (Le Centre pour la Communication Scientifique Directe). 8(3-4). 197–202.
9.
Segura, Sergio, et al.. (2013). Automated Metamorphic Testing on the Analysis of Software Variability. 2 indexed citations
10.
J„ärvisalo, Matti, Daniel Le Berre, Olivier Roussel, & Laurent Simon. (2012). The International SAT Solver Competitions. AI Magazine. 33(1). 89–94. 70 indexed citations
11.
Berre, Daniel Le & Anne Parrain. (2010). The Sat4j library, release 2.2. HAL (Le Centre pour la Communication Scientifique Directe). 7(2-3). 59–64. 229 indexed citations
12.
Argelich, Josep, et al.. (2010). Solving Linux Upgradeability Problems Using Boolean Optimization. SHILAP Revista de lepidopterología. 29. 11–22. 24 indexed citations
13.
Berre, Daniel Le & Anne Parrain. (2007). À propos de l'extension d'un solveur SAT pour traiter des contraintes pseudo-booléennes. HAL (Le Centre pour la Communication Scientifique Directe).
14.
Berre, Daniel Le & Laurent Simon. (2006). Preface to the Special Volume on the SAT 2005 Competitions and Evaluations. 2(1-4). i–xiv. 11 indexed citations
15.
Coste-Marquis, Sylvie, et al.. (2006). Complexity Results for Quantified Boolean Formulae Based on Complete Propositional Languages1. 1(1). 61–88. 2 indexed citations
16.
Brewka, Gerhard, Salem Benferhat, & Daniel Le Berre. (2004). Qualitative choice logic. Artificial Intelligence. 157(1-2). 203–237. 49 indexed citations
17.
Purdom, Paul W., Daniel Le Berre, & Laurent Simon. (2004). A Parsimony Tree for the SAT2002 Competition. Annals of Mathematics and Artificial Intelligence. 43(1-4). 343–365. 1 indexed citations
18.
Benferhat, Salem, Souhila Kaci, Daniel Le Berre, & Mary‐Anne Williams. (2003). Weakening conflicting information for iterated revision and knowledge integration. Artificial Intelligence. 153(1-2). 339–371. 4 indexed citations
19.
Brewka, Gerhard, Salem Benferhat, & Daniel Le Berre. (2002). Qualitative Choice Logic.. Principles of Knowledge Representation and Reasoning. 158–169. 10 indexed citations
20.
Berre, Daniel Le, et al.. (1996). Using the Davis and Putnam Procedure for an Efficient Computation of Preferred Models.. European Conference on Artificial Intelligence. 350–354. 11 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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